The common responsibilities for this position include designing, developing, and maintaining data pipelines and ETL processes, implementing data modeling techniques, optimizing data infrastructure, and ensuring data quality, accuracy, and consistency. The role involves collaborating with cross-functional teams to understand data requirements, writing optimized code, and integrating various data sources. Additionally, it includes supporting data-driven decision-making initiatives, developing and maintaining data models and schemas, and monitoring and enhancing data quality, governance, and security practices. The Data Engineer will also be responsible for building enterprise-grade data solutions, automating data ingestion processes, and documenting technical specifications. Other duties may involve troubleshooting issues, evaluating data tools, and delivering relevant analyses to support business objectives.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
Job subclassifications that have advertised a position